Junior Applied AI Engineer- HRIS

Posted 12 Days Ago
Sunnyvale, CA, USA
Hybrid
105K-140K Annually
Junior
Security • Software • Cybersecurity
The Role
Support design, build, and deploy AI/ML models and AI-powered HR features (agents, chatbots, recommendations). Collaborate with HR, IT, and data teams, build HR data pipelines, document workflows, and handle sensitive HR data with confidentiality.
Summary Generated by Built In

About the Role

We are looking for a Junior Applied AI Engineer- HRIS to join our HRIS team and help build intelligent, data-driven solutions that enhance HR processes and employee experiences. This role will report to the Director of HRIS at Fortinet, and will work at the intersection of artificial intelligence, data engineering, and HR technology, contributing to the development of AI-powered tools such as AI Agents, chatbots, analytics models, and workflow automation systems.

This is an excellent opportunity for someone early in their career who is passionate about applying AI in real-world business contexts, particularly in HR systems.

Key Responsibilities

  • Assist in designing, developing, and deploying AI/ML models to support HR functions (e.g., recruiting, onboarding, employee engagement, retention).
  • Collaborate with HR, IT, and data teams to understand business needs and translate them into technical solutions.
  • Build and maintain data pipelines for HR data (structured and unstructured).
  • Support development of AI-powered features such as Agents, chatbots, recommendation systems, and predictive analytics.
  • Document technical processes, models, and workflows.
  • Demonstrate ability to work with sensitive data while maintaining confidentiality and sound judgment.

Required Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 0–2 years of experience in AI/ML, data science, or software engineering 
  • Understanding of what LLMs are and how they work at a high level (tokens, prompts, context window)
  • Awareness of common issues (hallucinations, bias, context limits)
  • Understanding of machine learning concepts and algorithms
  • Proficiency in Python and common AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience with Database (SQL/ No SQL)
  • Understanding of REST APIs and basic software development practices
  • Strong problem-solving and analytical skills
  • Good communication and teamwork abilities

Preferred Qualifications

  • Exposure to Natural Language Processing (NL)P and conversational AI
  • Experience working with cloud platforms (e.g., OCI, AWS, Azure, or GCP)
  • Familiarity with SaaS based HR platforms (e.g., Oracle, Workday, etc.)
  • Experience with visualization tools (e.g., Tableau, Power BI)
  • Knowledge of version control systems like Git
  • Experience building chatbots or automation tools

What You’ll Gain

  • Hands-on experience applying AI in a business-critical domain.
  • Exposure to HR technology ecosystems and enterprise systems.
  • Opportunity to work on impactful, user-facing AI solutions.

Key Competencies

  • Curiosity and willingness to learn
  • Attention to detail
  • Adaptability in a fast-paced environment
  • Collaborative mindset
  • Interest in AI applications in HR and business processes

Other

  • Must be authorized to work in the U.S. without sponsorship

The US base salary range for this full-time position is $105,000-$140,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time, as well as a comprehensive leave program.

Wage ranges are based on various factors, including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.

All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at the time of hire and annually at the Company’s discretion.

Why Join Us:

We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being.

Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 890,000+ customers around the globe.

About Us
Fortinet (NASDAQ: FTNT) secures the largest enterprise, service provider, and government organizations around the world. Fortinet empowers its customers with intelligent, seamless protection across the expanding attack surface and the power to take on ever-increasing performance requirements of the borderless network - today and into the future. Only the Fortinet Security Fabric architecture can deliver security without compromise to address the most critical security challenges, whether in networked, application, cloud or mobile environments. Fortinet ranks number one in the most security appliances shipped worldwide and more than 500,000 customers trust Fortinet to protect their businesses.

We are committed to providing reasonable accommodations for all qualified individuals with disabilities. If you require assistance or accommodation due to a disability, please contact us at [email protected].
 
Fortinet is an equal opportunity employer. We value diversity in our company, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, military/veteran status or any other applicable legally protected characteristics in the location in which the candidate is applying.

Skills Required

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or related field
  • 0-2 years of experience in AI/ML, data science, or software engineering
  • Understanding of LLMs (tokens, prompts, context window)
  • Awareness of common LLM issues (hallucinations, bias, context limits)
  • Understanding of machine learning concepts and algorithms
  • Proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, scikit-learn)
  • Experience with databases (SQL/NoSQL)
  • Understanding of REST APIs and basic software development practices
  • Ability to work with sensitive data while maintaining confidentiality and sound judgment
  • Strong problem-solving and analytical skills
  • Good communication and teamwork abilities
  • Exposure to Natural Language Processing (NLP) and conversational AI
  • Experience with cloud platforms (OCI, AWS, Azure, or GCP)
  • Familiarity with SaaS HR platforms (Oracle, Workday)
  • Experience with visualization tools (Tableau, Power BI)
  • Knowledge of version control systems like Git
  • Experience building chatbots or automation tools
  • Must be authorized to work in the U.S. without sponsorship

Fortinet Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fortinet and has not been reviewed or approved by Fortinet.

  • Affordable Benefits Medical coverage includes a no-premium HDHP option with HSA funding alongside PPO/HMO choices, reducing employee costs at enrollment. Eligibility starts on the date of hire and includes company-paid life and disability coverage.
  • Wellbeing & Lifestyle Benefits Mental-health access through Modern Health and an EAP offers therapy, coaching, and counseling resources. Lifestyle extras such as legal assistance, commuter benefits, pet-insurance discounts, and subsidized meals and snacks enhance everyday support.
  • Strong & Reliable Incentives Compensation packages include annual bonuses, sales commissions, and stock awards. Earnings potential can be strong in sales when quotas are realistic and attainment is high.

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The Company
HQ: Sunnyvale, CA
10,357 Employees
Year Founded: 2000

What We Do

Fortinet develops and sells cybersecurity solutions.

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